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Record W4378673654 · doi:10.1093/sleep/zsad077.0776

0776 Effects of Perceived Discrimination on Sleep and Internalizing and Externalizing Behaviors in Hispanic/Latinx Adolescents

2023· article· en· W4378673654 on OpenAlexaboutno aff
Ingrid Durley, Nicole Arra, Orsolya Kiss, Anya Harkness, Leticia Camacho, Fiona C. Baker

Bibliographic record

VenueSLEEP · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsnot available
FundersCincinnati Children's Hospital Medical Center
KeywordsPsychologyEthnic groupChild Behavior ChecklistClinical psychologyAcculturationMental healthDevelopmental psychologySchedule for Affective Disorders and SchizophreniaSocial connectednessPsychiatryAnxietySocial psychology

Abstract

fetched live from OpenAlex

Abstract Introduction Racism negatively affects children’s health, behavior, and relationships. Current literature focuses on associations between perceived discrimination and daytime behaviors in children and adolescents, with less known about associations with sleep behavior, an essential aspect on health during development. Racial/ethnic minorities, including Hispanic/Latinx youth, are at increased risk of sleep problems, along with mental health issues. Here, we examined the relationship between perceived discrimination and sleep and behavioral problems, and the potential role of familial cultural heritage connectedness as a mediator, in Hispanic/Latinx adolescents in the Adolescent Brain Cognitive Development (ABCD) Study®. Methods Data were analyzed from 1,213 Hispanic/Latinx adolescents (Mean age =11.89 years, range: 10-14 years, 48.22% female), collected as part of the ongoing ABCD Study® from the 2nd year follow up. Sleep was assessed with a question about having trouble falling or staying asleep in the past two weeks from the Kiddie Schedule for Affective Disorders and Schizophrenia (KSADS-5) (youth-report). Participants completed the Perceived Discrimination scale, an 11-item self-report about racial/ethnic perceived discrimination in the past year from teachers, peers, and other adults. Cultural heritage connectedness was gathered from the Vancouver Index of Acculturation (caregiver-report). Internalizing and externalizing behaviors were assessed using the Child Behavior Checklist (caregiver-report). Regression models examined associations between perceived discrimination and sleep behavior and externalizing/internalizing behavior, considering age, socio-demographic characteristics, parental education, and familial immigration status. Results Perceived discrimination correlated with more sleep problems (p< 0.01), with a stronger effect in female than male participants (p< 0.01). Perceived discrimination was also associated with internalizing and externalizing behaviors (p< 0.01). Connectedness to cultural heritage partially mediated the association between perceived discrimination and externalizing behaviors (p< 0.01), but not with sleep problems or internalizing behaviors. Conclusion Results show perceived discrimination is associated with sleep problems in Hispanic/Latinx adolescents, with a stronger relationship in female participants. Future investigation of links between perceived discrimination and health outcomes, including sleep and behaviors, is needed using longitudinal data and youth self-reports of the Vancouver Index of Acculturation, rather than caregiver reports to further investigate the potential role of cultural connectedness is these relationships. Support (if any) NIH U01DA041022

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.304
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2023
Admission routes1
Has abstractyes

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